Simultaneous Vision and Surface Electromyography Measurements to Evaluate Masticatory Robot TMJ Reaction Forces During Mastication

The advancement in biomechanics motivated the development of biomimetic robots. In mastication, there are limited studies on a masticatory robot capable of reproducing the human mandibular trajectory. Available studies have suggested a reliable simulation of the developed masticatory robot based on...

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Bibliographic Details
Published in:IEEE sensors journal 2024-04, Vol.24 (7), p.11279-11286
Main Authors: Chow, Roy, Mostashiri, Naser, Dhupia, Jaspreet S., Xu, Weiliang
Format: Article
Language:English
Subjects:
Analytical models
Biological effects
Biomechanics
Biomimetics
Dynamics
Electromyography
Force
Force measurement
Hill’s muscle model
Human motion
Human subjects
mandibular motion
masseter forces
Mastication
masticatory forces
Methodology
muscle activity
Muscles
Occlusion
Performance evaluation
Robot dynamics
Robots
surface electromyography (SEMG)
Trajectory
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Summary:The advancement in biomechanics motivated the development of biomimetic robots. In mastication, there are limited studies on a masticatory robot capable of reproducing the human mandibular trajectory. Available studies have suggested a reliable simulation of the developed masticatory robot based on human mandibular motion. However, there are limited literatures evaluating the robot's performance and comparing its results to that of a human subject. Benchmarking and evaluating robotic performance with human subject data establishes an important concept which is essential for further development. Therefore, this article presents a methodology to evaluate masticatory performance of the developed masticatory robot and human subject during mastication. This methodology utilizes surface electromyography (SEMG) and Hill's muscle model to estimate masticatory forces in a human subject during occlusion in mastication, and compares the relevant data to the in vitro simulation results measured from the masticatory robot. With this methodology in place, current limitations of the robot are identified and controls can be refined in further studies to provide more realistic results, aiming at providing more reliable and biologically accurate results.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2023.3347179